Package topo :: Package outputfn :: Module basic :: Class NakaRushton
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Class NakaRushton

source code

                       object --+        
                                |        
param.parameterized.Parameterized --+    
                                    |    
         base.functionfamily.OutputFn --+
                                        |
                                       NakaRushton

Naka-Rushton curve.

From Naka, K. and Rushton, W. (1996), S-potentials from luminosity units in the retina of fish (Cyprinidae). J. Physiology 185:587-599.

The Naka-Rushton curve has been shown to be a good approximation of constrast gain control in cortical neurons. The input of the curve is usually contrast, but under the assumption that the firing rate of a model neuron is directly proportional to the contrast, it can be used as an OutputFn for a Sheet.

The parameter c50 corresponds to the contrast at which the half of the maximal output is reached. For a Sheet OutputFn this translates to the input for which a neuron will respond with activity 0.5.

Nested Classes [hide private]

Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods [hide private]
 
__call__(self, x) source code

Inherited from base.functionfamily.OutputFn: __add__

Inherited from param.parameterized.Parameterized: __getstate__, __init__, __repr__, __setstate__, __str__, debug, defaults, force_new_dynamic_value, get_param_values, get_value_generator, inspect_value, message, print_param_values, script_repr, set_dynamic_time_fn, state_pop, state_push, verbose, warning

Inherited from object: __delattr__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__

Class Methods [hide private]

Inherited from param.parameterized.Parameterized: params, print_param_defaults

Class Variables [hide private]
  c50 = param.Number(default= 0.1, doc= ...
The input of the neuron at which it responds at half of its maximal firing rate (1.0).
  e = param.Number(default= 1.0, doc= """The exponent of the inp...
The exponent of the input x.

Inherited from base.functionfamily.OutputFn: norm_value

Inherited from param.parameterized.Parameterized: name, print_level

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__call__(self, x)
(Call operator)

source code 
Overrides: base.functionfamily.OutputFn.__call__

Class Variable Details [hide private]

c50

The input of the neuron at which it responds at half of its maximal firing rate (1.0).
Value:
param.Number(default= 0.1, doc= """
        The input of the neuron at which it responds at half of its maximal firing\
 rate (1.0).""")

e

The exponent of the input x.
Value:
param.Number(default= 1.0, doc= """The exponent of the input x.""")